Summary Ratings

Summary ratings are built as a weighted average of sub-ratings for each school. For example:

\[CR_{its} = \omega^{T}_{its}\cdot TestRating_{its} + \omega^{G}_{its} GrowthRating_{its} + \omega^{E}_{its} EquityRating_{its} + \omega^{C}_{its} CollegeRating_{its}\] where \(CR_{its}\) is the continuous variable used to build the summary rating for school \(i\) in time \(t\) and state \(s\), which is the weighted average of four different ratings: Test scores, Growth or Student Progress, Equity, and College Readiness. Each \(\omega\) represents a weight for each school and each rating¹. Finally, the summary rating \(R_{its}\) is built from the rounding of the continuous variable:

\[\lfloor CR_{its} \rceil = R_{its}\]

Effect of ratings on Black students

Using 2017 ratings², we estimate the regression discontinuity for the total number of Black students for the years 2018 and 2019.

We can also plot the RDs for the entire distribution of continuous ratings, where the cutoffs are for the midpoint between each integer rating (e.g. 2.5 is the cutoff between ratings 2 and 3). Below we show the plots for both 2018 and 2019 (Note: The plots are interactive, so you can zoom in to observe the discontinuities).